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test_nrl.py
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/
test_nrl.py
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# -*- coding: utf-8 -*-
import os
import unittest
import numpy as np
import pytest
from obspy.core.inventory import (Response, PolesZerosResponseStage,
ResponseStage, CoefficientsTypeResponseStage)
from obspy.clients.nrl.client import NRL, LocalNRL, RemoteNRL
@pytest.mark.network
class NRLRemoteTestCase(unittest.TestCase):
"""
Minimal NRL test suite connecting to online NRL
"""
def setUp(self):
# This is also the default URL.
self.nrl_online = NRL(root='http://ds.iris.edu/NRL')
def test_nrl_type(self):
self.assertIsInstance(self.nrl_online, RemoteNRL)
class NRLLocalTestCase(unittest.TestCase):
"""
NRL test suite using stripped down local NRL without network usage.
"""
def setUp(self):
# Longer diffs in the test assertions.
self.maxDiff = None
# Small subset of NRL included in tests/data
self.local_nrl_root = os.path.join(
os.path.dirname(__file__), 'data', 'IRIS')
self.nrl_local = NRL(root=self.local_nrl_root)
self.local_dl_key = ['REF TEK', 'RT 130 & 130-SMA', '1', '1']
self.local_sensor_key = ['Guralp', 'CMG-3T', '120s - 50Hz', '1500']
def test_nrl_type(self):
self.assertIsInstance(self.nrl_local, LocalNRL)
def test_get_response(self):
# Get only the sensor response.
sensor_resp = self.nrl_local.get_sensor_response(self.local_sensor_key)
# Get only the datalogger response.
dl_resp = self.nrl_local.get_datalogger_response(self.local_dl_key)
# Get full response.
resp = self.nrl_local.get_response(
datalogger_keys=self.local_dl_key,
sensor_keys=self.local_sensor_key)
# Make sure that NRL.get_response() has overall instrument sensitivity
# correctly recalculated after combining sensor and datalogger
# information, see #3099.
# Before fixing this bug the result was 945089653.7285056 which is a
# relative deviation of 0.00104
assert resp.instrument_sensitivity.value == pytest.approx(
944098418.0614196, abs=0, rel=1e-4)
# All of them should be Response objects.
self.assertIsInstance(resp, Response)
self.assertIsInstance(dl_resp, Response)
self.assertIsInstance(sensor_resp, Response)
# The full response is the first stage from the sensor and all
# following from the datalogger.
self.assertEqual(resp.response_stages[0],
sensor_resp.response_stages[0])
self.assertEqual(resp.response_stages[1:],
dl_resp.response_stages[1:])
# Test the actual responses. Testing the parsing of the exact values
# and what not is done in obspy.io.xseed.
paz = sensor_resp.response_stages[0]
self.assertIsInstance(paz, PolesZerosResponseStage)
np.testing.assert_allclose(
paz.poles, [(-0.037008 + 0.037008j), (-0.037008 - 0.037008j),
(-502.65 + 0j), (-1005 + 0j), (-1131 + 0j)])
np.testing.assert_allclose(paz.zeros, [0j, 0j])
self.assertEqual(len(dl_resp.response_stages), 15)
self.assertEqual(len(resp.response_stages), 15)
self.assertIsInstance(resp.response_stages[1], ResponseStage)
for _i in range(2, 15):
self.assertIsInstance(resp.response_stages[_i],
CoefficientsTypeResponseStage)
def test_nrl_class_str_method(self):
out = str(self.nrl_local)
# The local NRL is not going to chance so it is fine to test this.
self.assertEqual(out.strip(), """
NRL library at %s
Sensors: 20 manufacturers
'CEA-DASE', 'CME', 'Chaparral Physics', 'Eentec', 'Generic',
'Geo Space/OYO', 'Geodevice', 'Geotech', 'Guralp', 'Hyperion',
'IESE', 'Kinemetrics', 'Lennartz', 'Metrozet', 'Nanometrics',
'REF TEK', 'Sercel/Mark Products', 'SolGeo',
'Sprengnether (now Eentec)', 'Streckeisen'
Dataloggers: 13 manufacturers
'Agecodagis', 'DAQ Systems (NetDAS)', 'Earth Data', 'Eentec',
'Generic', 'Geodevice', 'Geotech', 'Guralp', 'Kinemetrics',
'Nanometrics', 'Quanterra', 'REF TEK', 'SolGeo'
""".strip() % self.local_nrl_root)
def test_nrl_dict_str_method(self):
out = str(self.nrl_local.sensors)
self.assertEqual(out.strip(), """
Select the sensor manufacturer (20 items):
'CEA-DASE', 'CME', 'Chaparral Physics', 'Eentec', 'Generic',
'Geo Space/OYO', 'Geodevice', 'Geotech', 'Guralp', 'Hyperion',
'IESE', 'Kinemetrics', 'Lennartz', 'Metrozet', 'Nanometrics',
'REF TEK', 'Sercel/Mark Products', 'SolGeo',
'Sprengnether (now Eentec)', 'Streckeisen'""".strip())
def test_error_handling_invalid_path(self):
with self.assertRaises(ValueError) as err:
NRL("/some/really/random/path")
self.assertEqual(
err.exception.args[0],
"Provided path '/some/really/random/path' seems to be a local "
"file path but the directory does not exist.")